Senior Engineer - Deep Learning/AIML

Daimler Trucks North America LLC; Bengaluru; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Mercedes-Benz Research and Development India Private Limited is seeking a Senior Engineer in AI/Deep Learning/Computer Vision to own end-to-end perception algorithm design and implementation. You will contribute to the AI production stack powering perception, decision-making, and safety-critical vehicle systems.

The role requires 3-6 years in CV, strong Python, OpenCV, SciPy, PyTorch skills, and knowledge of camera ISP pipelines.

Qualifications

• Bachelor’s or Master’s in Computer Vision/Computer Science or related fields.
• 3-6 years of experience in developing Computer Vision algorithms in production-grade scenarios.
• Strong programming in Python with libraries listed above; solid understanding of CV principles.

Responsibilities

• Research and implement state-of-the-art perception algorithms for AI production stack.
• Design and implement production-quality CV algorithms robust to diverse conditions.
• Debug complex issues and ensure algorithm performance and reliability across the stack.
• Collaborate with cross-functional teams globally to deliver scalable AI solutions.
• Document research work in line with AI process standards (EU AI Act, ASPICE ML).

Skills

Python

OpenCV

SciPy

PyTorch

SOTA CNNs

ML/DL Model training

Camera ISP pipelines

Education

Bachelor's or Master's in Computer Vision/Computer Science

Job description

Job Description - Senior Engineer - Deep Learning/AIML (MER00043FT)

Description

Job Title

Senior Engineer – AI/ Deep Learning /Computer Vision

Role Overview

We are seeking Algorithm Engineer with strong skills in perception-driven algorithm development to join our Algo Dev team. In this role, you will take ownership of the end-to-end design and implementation of perception algorithms contributing directly to our AI production stack to deliver a highly efficient AI solution that powers perception, decision-making, and safety-critical systems in next-generation vehicles.

Key Responsibilities

• Research & Implementation: Benchmark SOTA algorithms in the latest research space & devise novel and compute-efficient perception-based algorithms
• Algorithm Development for production quality: Design and implement robust Computer Vision Algorithms that are robust to diverse scenarios - changing exposure, variable lighting conditions, human articulations etc.
• Debug complex issues, conduct thorough root cause analysis, and ensure the performance, robustness, and reliability of perception algorithms across the AI production stack
• Collaborate with cross-functional teams, distributed globally, to deliver robust and scalable AI algorithms
• Strong documentation of research work compliant with AI process standards – EU AI Act, ASPICE ML Process etc.

Minimum Qualifications

• Education: Bachelor’s or Master’s in Computer Vision/Computer Science or related fields
• Core Experience: 3-6 years of experience in developing Computer Vision algorithms, specifically focusing on real production grade scenarios
• Technical Skills:
  • Strong expertise in Python and libraries like OpenCV, SciPy, and PyTorch
  • Know how of SOTA CNNs, ML/DL Model training using large scale datasets – both real and artificial datasets
  • Strong understanding of Camera ISP (Image Signal Processor) pipelines, including exposure control, gain, and white balance and how IQ parameters and real time environments affect algorithm performance
• Know-how of ML processes for algorithm development

Preferred Qualifications

• Experience developing and delivering production grade perception algorithms in Automotive domain
• Strong in fundamentals of Perception/ Computer Vision/ Deep Learning/ VLMs / Gen AI
• Strong understanding of performance metrics, benchmarking, and error analysis for perception systems
• Experience in optimizing models for runtime performance, including latency, memory footprint, and deployment constraints on edge/embedded systems
• Publication Record: Published research in top-tier journals or conferences (e.g., CVPR, ICCV) and/or having filed/granted patents in Automotive domain
• Experience working with algorithm development with diverse camera modalities – RGB, NIR, FIR, Depth etc.

Organization

Mercedes-Benz Research and Development India Private Limited

Primary Location

India-Karnataka-Bangalore

Work Locations

Brigade Tech Gardens, Katha No. 119
Brigade Tech Gardens, Katha No. 119 Kundalahalli Village, K.R. Puram Hobli, Ward No. 85 Bangalore 560037